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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
31

Användbarhet och användarvänlighet av smarta enheter i den egna bostaden hos unga konsumenter / Usefulness and ease of use of smart devices in the private home amongst young consumers

Nurmi, Sarah, Görander, Clara January 2023 (has links)
This thesis is written within the topic of Internet of Things (IoT) and smart homes among young adults in Sweden. Smart homes are taking up more and more space on the housing market and aim to make consumers' everyday lives easier. Factors behind buying a smart home present a gap of knowledge about who the potential buyers are among young adults. The essay is written with the aim of reviewing generation Y and Z’s ownership and regular use of smart home devices in their households in terms of usefulness and ease of use. The aim is also to gain an insight into the willingness of generation Y and Z to buy and pay for a smart home. By using previous research combined with a quantitative study in the form of a web survey, an analysis was formed from the consumers' responses. The result shows that young consumers have a broad knowledge of what IoT means with a majority having at least one smart device in their household. The willingness to buy and pay for smart homes is proving to be varied, with young consumers not yet convinced on the issue. The outcome of the thesis contributes to an interesting discussion about IoT and smart homes from different perspectives and gives you as a reader knowledge about smart home devices and their potential in the housing market.
32

Design Techniques for Secure IoT Devices and Networks

Malin Priyamal Prematilake (12201746) 25 July 2023 (has links)
<p>The rapid expansion of consumer Internet-of-Things (IoT) technology across various application domains has made it one of the most sought-after and swiftly evolving technologies. IoT devices offer numerous benefits, such as enhanced security, convenience, and cost reduction. However, as these devices need access to sensitive aspects of human life to function effectively, their abuse can lead to significant financial, psychological, and physical harm. While previous studies have examined the vulnerabilities of IoT devices, insufficient research has delved into the impact and mitigation of threats to users' privacy and safety. This dissertation addresses the challenge of protecting user safety and privacy against threats posed by IoT device vulnerabilities. We first introduce a novel IWMD architecture, which serves as the last line of defense against unsafe operations of Implantable and Wearable Medical Devices (IWMDs). We demonstrate the architecture's effectiveness through a prototype artificial pancreas. Subsequent chapters emphasize the safety and privacy of smart home device users. First, we propose a unique device activity-based categorization and learning approach for network traffic analysis. Utilizing this technology, we present a new smart home security framework and a device type identification mechanism to enhance transparency and access control in smart home device communication. Lastly, we propose a novel traffic shaping technique that hinders adversaries from discerning user activities through traffic analysis. Experiments conducted on commercially available IoT devices confirm that our solutions effectively address these issues with minimal overhead.</p>

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